Instructions to use EnD-Diffusers/Poltergeist1pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Poltergeist1pt2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Poltergeist1pt2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3e42d7c8c6923559771e72ed1f0d631f8ca6df918535e789c85cf8234e4b2558
- Size of remote file:
- 1.39 GB
- SHA256:
- f5b2549e31a09b8ace848abf41a203fe18cc79630bdb7a321b94d48eb3ecd6b7
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